AI for Kids Worksheet: Part 1 Test
AI tip (Name the idea, then answer): Learning from examples → AI; fixed rules → a normal program. Order: training data → model → prediction; good data is many, varied and correctly labelled. Generative AI makes new things and can hallucinate; one-sided data causes bias.
NameDateTime takenScore ___ / 40
- 1.🔍 Which is the odd one out? (a) wrong labels (b) new data for testing (c) only one kind of example (d) copies of one photo
- 2.⚖️ One-sided or balanced data: stories with doctors of every gender? (a) balanced data (b) one-sided data
- 3.Which of these is good for training a model? (a) very few examples (b) testing on training data (c) wrong labels (d) examples of every type
- 4.🧐 Fact or myth: “AI can mix up numbers”? (a) a fact (b) a myth
- 5.⏩ In machine learning, which comes first: old emails marked spam or the learned patterns? (a) old emails marked spam (b) the learned patterns
- 6.🔍 Which is the odd one out? (a) AI learns from data (b) AI is never wrong (c) AI knows everything (d) confident means correct
- 7.📚 Good or bad for training a model: wrong labels? (a) bad for training (b) good for training
- 8.Which of these is a fact about AI? (a) AI knows everything (b) AI always checks facts (c) AI answers need checking (d) AI has real feelings
- 9.True or false: mangoes both raw and ripe is one-sided data (likely to make a biased model). (a) True (b) False
- 10.📚 Good or bad for training a model: many varied examples? (a) bad for training (b) good for training
- 11.🔁 Training data, the model or a prediction: “typing a new spoken word”? (a) training data (b) the model (c) a prediction
- 12.🧐 Fact or myth: “AI is never wrong”? (a) a myth (b) a fact
- 13.🛠️ Which does this job need: switching on a street light at 6 pm? (a) needs AI (learning) (b) a simple rule is enough
- 14.🤖 AI or a normal program: which one “follows fixed rules”? (a) AI (b) a normal program
- 15.🛠️ Which does this job need: counting the words in an essay? (a) a simple rule is enough (b) needs AI (learning)
- 16.Which of these uses AI? (a) a digital watch (b) an image generator (c) a printed timetable (d) a kitchen weighing scale
- 17.✅ Is this a real check of an AI answer: it uses big words? (a) a real check (b) not a real check
- 18.🛠️ Does this reduce bias or add to it: ignore complaints? (a) reduces bias (b) adds to bias
- 19.🤖 AI or a normal program: which one “uses rules people wrote”? (a) AI (b) a normal program
- 20.Which of these uses AI? (a) a kitchen weighing scale (b) a torch (c) a digital watch (d) face unlock on a phone
- 21.🤖 Does an AI system think and feel like a person? (a) only on weekends (b) no, it finds patterns (c) yes, just like us (d) yes, it gets sad
- 22.🔍 Which is the odd one out? (a) a doorbell (b) photos grouped by face (c) a printed timetable (d) a stopwatch
- 23.Which of these is bad for training a model? (a) very few examples (b) many varied examples (c) clear, sharp examples (d) new data for testing
- 24.🔦 Is a torch with an on/off switch AI? (a) only if it is bright (b) yes (c) no
- 25.🤔 An AI answer sounds very confident. Does that mean it is right? (a) no, check it anyway (b) yes, if it is long (c) yes, always
- 26.Which of these helps reduce bias? (a) fix wrong labels (b) add more of the same (c) skip testing (d) copy old unfair choices
- 27.🎨 This prompt asks a generative AI for: five quiz questions on fractions. What kind of output is that? (a) an image (b) text (c) music or sound
- 28.🔍 Which is the odd one out? (a) predicting rain (b) unlocking with a face (c) turning speech to text (d) composing a new tune
- 29.✨ Generative or not: creating a cartoon? (a) sorts or predicts (b) makes something new
- 30.🛠️ Which does this job need: turning spoken words into typed text? (a) a simple rule is enough (b) needs AI (learning)
- 31.🏠 AI or not AI: a doorbell? (a) not AI (b) uses AI
- 32.🤖 AI or a normal program: which one “never learns from data”? (a) AI (b) a normal program
- 33.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Your account is locked, pay ₹99 now” (a) not spam (b) spam
- 34.Which of these is not AI? (a) a calculator (b) a voice assistant (c) an app translating signs (d) an image generator
- 35.🛠️ Which does this job need: ringing the school bell at 9 am? (a) needs AI (learning) (b) a simple rule is enough
- 36.⏩ In machine learning, which comes first: tomorrow’s rain guess or past weather records? (a) tomorrow’s rain guess (b) past weather records
- 37.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Please buy milk on the way home” (a) not spam (b) spam
- 38.⚖️ One-sided or balanced data: voices of children and adults from many regions? (a) one-sided data (b) balanced data
- 39.Which of these is good for training a model? (a) very few examples (b) new data for testing (c) labels added at random (d) only one kind of example
- 40.Which of these describes how AI works? (a) uses rules people wrote (b) never learns from data (c) one set rule per case (d) makes a best guess
Answer key
- new data for testing
- balanced data
- examples of every type
- a fact
- old emails marked spam
- AI learns from data
- bad for training
- AI answers need checking
- False
- good for training
- a prediction
- a myth
- a simple rule is enough
- a normal program
- a simple rule is enough
- an image generator
- not a real check
- adds to bias
- a normal program
- face unlock on a phone
- no, it finds patterns
- photos grouped by face
- very few examples
- no
- no, check it anyway
- fix wrong labels
- text
- composing a new tune
- makes something new
- needs AI (learning)
- not AI
- a normal program
- spam
- a calculator
- a simple rule is enough
- past weather records
- not spam
- balanced data
- new data for testing
- makes a best guess
Free ai for students lessons, practice and worksheets at talentjr.in/ai-for-students